pandas
https://github.com/pydata/pandas
Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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- Issues
- Fix API: astype method fails to raise errors for category data type
- BUG: skipna=True operations don't skip NaN in FloatingArrays
- DOCS: fix docstring validation errors for pandas.Series #59595
- Enhanced numeric.py to process hexadecimal,decimal,binary formats(0x 0o 0b…)
- Update hist.py
- Update html.py
- BUG: DataFrame.query() throws error when df has duplicate column names
- ENH: Is there a way to plot a long format data in matplotlib without pivoting the table ?
- BUG: locset with Series as column key fails inconsistently
- BUG: Trying to use convert_dtypes with dtype_backend='pyarrow' specified on empty categorical series results in error or null[pyarrow] dtype
- Docs
- Python not yet supported